This book offers strategies for using Twitter data to find answers to challenging questions. The brief describes how to get data using Twitter's APIs and provides tips for curating sizable datasets.
The book provides real-world examples of Twitter data as well as information on the difficulties in constructing visual analytic tools today and the most effective solutions. Examples show how effective metrics can be calculated utilizing different Twitter data sources. Twitter is a perfect example of a social media platform where practitioners can mine intriguing patterns and create their own apps while researchers can validate their ideas due to its openness in sharing data.
This book is intended to give graduate students, practitioners, researchers, and project managers a starting point for their Twitter activities. In addition, it provides readers with experience in Twitter data analysis with a handy reference.